Your Design Is Your Company. Flux Does Not Train on It.
Flux does not train on customer data. Your requirements, prompts, schematics, PCB layouts, and files do not become training data for AI models. Your inputs and outputs are your IP. For a hardware team, that is the starting point: use AI to build the device, without turning the design into training material.
When AI vendors change their terms, the question for an engineering team is simple: what happens to the work we put into this tool? A paid account is a purchasing decision. Data use is a separate decision. Ask for a direct answer before you share the next product's design.
Your design is your company
A hardware design holds the decisions that make a product worth building. The schematic shows how it works. The PCB layout shows how those circuits fit together. The enclosure captures the mechanical constraints, from connector openings to sealing surfaces. The assembly records how the parts become a device.
The value extends beyond those files. A BOM reveals component choices and cost targets. Firmware describes product behavior. Mechanical CAD captures mounting geometry, tolerances, and the way a customer will use the product. A prompt can explain the next feature before a drawing exists.
These are not disposable chat messages. Together, they describe your product and the engineering judgment behind it. Your team needs a clear rule for all of that work, not just a rule for the final schematic or exported enclosure.
What Flux promises about your data
Our security page states the policy directly. It covers the data you give Flux and the work Flux makes for you:
- No training on customer data. Your designs do not become training data for AI models. This includes requirements, prompts, schematics, PCB layouts, and files.
- Your inputs and outputs are your IP. The requirements you write, the files you provide, and the designs and manufacturing files Flux makes for you are your intellectual property.
- Encryption in transit and at rest. Flux encrypts data while it moves and while it is stored.
- SOC 2-aligned cloud infrastructure. Flux runs on infrastructure aligned with the SOC 2 security framework.
- Access controls for your team. Flux supports single sign-on and project-level permissions. You choose whether a collaborator can view, edit, or comment on a project.
Ownership, training, encryption, and access answer different questions. You need all four answers in a vendor review. Ownership tells you whose work it is. The training policy tells you how that work is used. Encryption protects data in motion and storage. Permissions let you decide who can work on a design.
Protect the whole device, not one editor
Consider a team developing an industrial controller. Its electronics engineers work on power, sensing, and a tightly packed board. Its mechanical engineers work on the housing, mounting features, and heat path. Its firmware engineers define startup behavior and fault handling. Each discipline needs context from the others.
A connector change can affect the schematic, PCB placement, enclosure cutout, cable clearance, and assembly instructions. A thermal requirement can explain both a component choice and the shape of a mechanical part. Even a short design request can reveal the product's operating limits and its intended market.
That is why the data question must cover the complete project. Ask about prompts as well as uploads. Ask about generated outputs as well as source files. Include the BOM, firmware, enclosure, and mechanical assembly in the review, alongside the schematic and layout. Your product does not stop at the edge of the board.
Five questions to ask any AI vendor
- Do you train on our data? Ask for an answer that covers prompts, uploaded files, design changes, and generated outputs.
- Who owns the inputs and outputs? Include design files and manufacturing files, not only chat text.
- Is data encrypted in transit and at rest? Get a clear answer for both.
- How do we control access? Ask about single sign-on, project permissions, and reviewer access.
- Where is the published policy? Give your security team the source it can review, and include data-use terms in future vendor reviews.
Bring those questions to the start of the evaluation. Your engineers should know the answer before they share a product requirement, a board file, or a mechanical assembly. In Flux, the answer is clear: your designs stay your IP, and they do not become AI training data.
FAQs about AI hardware design and data training
No. Flux does not train on customer data. Requirements, prompts, schematics, PCB layouts, and files do not become training data for AI models.
You do. Your inputs and outputs are your IP. This includes the requirements and files you provide and the schematics, PCB layouts, and manufacturing files Flux makes for you.
Flux encrypts data in transit and at rest, runs on SOC 2-aligned cloud infrastructure, and supports single sign-on and project-level permissions. Read the Flux security page for the published policy.
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